Azure reference architectureSEO research, audits, and optimization
A Azure reference architecture for seo research, audits, and optimization in Marketing. Triggered by weekly performance window closes, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching search console / analytics and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.
AzureRuntime: Azure AI FoundryTrigger
Weekly performance window closes
Marketing
Orchestration
Padiso Orchestrator
goals · tasks · heartbeat
Governance
budgets · approvals · audit
Runtime & agents
Agent runtime
Azure AI Foundry
Content agent
agent
SEO agent
agent
Campaign agent
agent
Integrations · MCP
MCP gateway
Your systems
Search console / analytics
Rank tracking
Reporting workspace
How the data flows
Trigger: Weekly performance window closes
- 1
SEO agent runs audits and tracks rankings against goals
- 2
It identifies decay, cannibalization and quick-win opportunities
- 3
Drafts prioritized recommendations and a client-ready report
- 4
Account lead approves before it reaches the client
Agent team
- Content agent
- SEO agent
- Campaign agent
Integrations
Reached through the Model Context Protocol, scoped and governed.
Runtime & data
Azure AI Foundry
Search console / analytics
Rank tracking
Reporting workspace
Security & operational considerations
- Read-only access to analytics by default
- Recommendations cite the data behind them
- Approval before client delivery
Azure deployment
Deployed in your Azure tenant on AI Foundry, with Entra ID scoping, Private Endpoints into your VNet, and Azure Monitor for audit and observability.
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